Farid Ferguene
Papers
5
Total Citations
27
H-Index
2
About
Farid Ferguene is a leading researcher in the field of advanced robotics control, specializing in the complex interplay between force, position, and environmental interaction. His work is centered on developing robust control strategies for robot manipulators, with a particular focus on hybrid force/position approaches and bilateral teleoperation systems. Ferguene’s major contributions include pioneering the use of neural compensators for dynamic external force feedback loop control, a method that significantly improves trajectory following in unknown environments, as demonstrated in his most-cited paper (17 citations). He has also advanced the field by integrating Fuzzy-Sliding Mode Control for flexible-joint robots, offering enhanced robustness and adaptability. His comparative study on optimizing bilateral teleoperation control architectures under time delays (2023) provides critical insights for real-world applications, while his work on RISE-Based Computed-Torque Control for parallel robots showcases his commitment to precision and stability. With a cumulative impact of over 27 citations across his key works, Ferguene’s research is instrumental in pushing the boundaries of autonomous and teleoperated robotic systems, making him a notable figure in the robotics community.
Research Focus
Key Achievements
Top Papers
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